Job Title: Azure Data Engineer

Location: Pune
Experience: 6-10 Years

About Globant

At Globant, we create digitally native products that help organizations reinvent themselves. We combine innovation, design, and engineering to build scalable, high-impact digital solutions for leading global enterprises.

Job Summary

We are looking for a strong Azure Data Engineer with excellent Python development skills to design, build, and optimize modern data platforms on Microsoft Azure. The ideal candidate should have hands-on experience with Azure data services, Python, Spark, SQL, and building scalable ETL/ELT pipelines.

Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Azure data services.
- Develop robust ETL/ELT workflows using Azure Data Factory (ADF).
- Build and optimize data processing solutions using Azure Databricks (ADB) and Apache Spark.
- Work with Azure Data Lake (ADL) for data storage and management.
- Develop reusable data engineering solutions using Python.
- Write efficient and optimized SQL queries,



stored procedures, and performance tuning.
- Collaborate with architects, business analysts, and cross-functional teams to deliver end-to-end data solutions.
- Ensure data quality, governance, security, and performance best practices.
- Troubleshoot production issues and optimize existing data pipelines.

Required Skills
- Strong hands-on experience in Python programming.
- Experience with Azure Data Factory (ADF).
- Experience working with Azure Data Lake (ADL).
- Hands-on experience in Azure Databricks (ADB).
- Robust knowledge of Apache Spark / PySpark.
- Excellent SQL development and query optimization skills.
- Experience building enterprise-scale ETL/ELT pipelines.
- Good understanding of data warehousing concepts and dimensional modeling.
- Experience with Git and CI/CD processes.
- Strong analytical, debugging, and problem-solving skills.

📌 Senior Data Engineer (Pune)
🏢 Globant
📍 Pune